Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer

Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations...

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Veröffentlicht in:Clinical cancer research 2014-12, Vol.20 (23), p.5995-6005
Hauptverfasser: Brown, Jason R, Wimberly, Hallie, Lannin, Donald R, Nixon, Christian, Rimm, David L, Bossuyt, Veerle
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container_end_page 6005
container_issue 23
container_start_page 5995
container_title Clinical cancer research
container_volume 20
creator Brown, Jason R
Wimberly, Hallie
Lannin, Donald R
Nixon, Christian
Rimm, David L
Bossuyt, Veerle
description Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value. We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate. The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not. We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility.
doi_str_mv 10.1158/1078-0432.CCR-14-1622
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Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value. We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate. The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not. We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. 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Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not. We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. 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Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not. We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility.</abstract><cop>United States</cop><pmid>25255793</pmid><doi>10.1158/1078-0432.CCR-14-1622</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; American Association for Cancer Research; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Adult
Aged
Antigens, CD20 - metabolism
Antineoplastic Combined Chemotherapy Protocols - therapeutic use
Biomarkers, Tumor
Breast Neoplasms - drug therapy
Breast Neoplasms - immunology
Breast Neoplasms - metabolism
Breast Neoplasms - mortality
Breast Neoplasms - pathology
CD3 Complex - metabolism
CD8 Antigens - metabolism
Chemotherapy, Adjuvant
Female
Humans
Immunophenotyping
Lymphocyte Subsets - immunology
Lymphocyte Subsets - metabolism
Lymphocytes, Tumor-Infiltrating - immunology
Lymphocytes, Tumor-Infiltrating - metabolism
Middle Aged
Neoadjuvant Therapy
Neoplasm Grading
Neoplasm Staging
Prognosis
Reproducibility of Results
Treatment Outcome
Tumor Burden
title Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer
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